Questions tagged [logarithm]
The logarithm of a number is the power to which the base must be raised to get the number.
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Optimal method for estimating geometric mean ratio using Bayesian log transformed data
I'm working on a Bayesian analysis with a categorical variable involving two groups (A vs B). I'm seeking advice on the best method to compute the geometric mean ratio (GMR) together with the highest ...
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Creating a confidence interval for the natural log of the proportion of successes [duplicate]
In a random sample of n subjects with n being very large, let X be the number of successes. Now I want to create the confidence interval for the natural log of the proportion of successes. Can I ...
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Log transformation leading to extremely negative R-squared and extremle values for MSE
I have a set of data and I am using this code on it:
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Dealing with 0's in loglog regression by using indicator functions I(x > 0)?
Assume we want to estimate the following model
$y = e^{\beta_0} * x_1^{\beta_1} * x_2{\beta_3}$ which we can linearize into
$\log(y) = \beta_0 + \beta_1 * \log x_1 + \beta_2 * \log x_2$
Assume that ...
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loglog regression with 0's in IV's
Assume we have 2 predictors $X_1$ and $X_2$ and an outcome $Y$ that we wish to model with the following function
$y = e^{\beta_0} * X_1 ^{\beta_1} * X_2^{\beta_2}$
Also assume that we have some priors ...
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R: boundary (singular) fit: see help('isSingular') with lrem model - only when transforming data to log
I am trying to run a lmer model on my dataset.
My dataset :
str(tabfi)
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How to report my log transformed (+1) data?
Say that I have a variable with lots of 0 values that needs log-transforming so I do log(variable+1) to transform it. How do I write that in my methods section as opposed to just 'the data was log-...
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Interpretation of log-transformed (simple) regression models - confirmation requested
I am ashamed to admit I never questioned this while obtaining my bachelor's in statistics but it's coming up again in grad school and I'm now realizing that I've been using approximations for ...
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Interpretation of estimates for 2 categorial factors and their interaction
I selected the best fitted gamlss model for my data :
gamlss(formula = Ratio ~ PROTECTION * JOUR, nu.formula = ~JOUR, family = BEINF, data = D_E1, trace = FALSE)
I want to interpret the output of ...
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Dense network can't learn a horizontally shifted log?
I've lately ran into an interesting problem, trying to teach a dense network a seemingly simple monotonous function- to regress a logarithmic function;
When this function was centered around 0 it ...
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Kernel Density Estimation on a Log-Scale: Log Transformation vs. Geometric Space
I’m working on a project where I need to plot a Kernel Density Estimation (KDE) on a log-scale x-axis. I’ve come across two different methods and I’m unsure which one would be more appropriate for my ...
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Always higher R squared after log transformation
lately I lost access to SPSS and instead of using Python or R, I tend to perform analysis using a free software called Jamovi.
The thing is, this software doesn't have the different non-linear ...
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How to know the sample arithmetic mean and standard deviation if I know the mean and the deviation of the logarithm of the observations
For a sample, I know the sample size, and the mean and standard deviation of the values transformed using the natural logarithm. I need to calculate the mean and standard deviation of the original ...
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How to transform STDEV of a numerical value to logarithmic value? [closed]
I have the following question:
I have the average and STDEV values of variable. To transform this to Log10 scale, I directly apply the logarithm to the average. Can I do the same with the STDEV?
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Interpretation of parameters in loglog-regression with scaled variables
Consider e.g the model $y = e^{\text{trend} + \text{seasonality}} \cdot \prod_{k \in \text{channels}} x_k^{b_k}$
where $i$ constrained $0 < b_k < 1$ (to capture diminishing marginal returns)
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